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Formative Evaluation of Digital Health Interventions (2801) Artificial Intelligence (1700) New Methods (1028) Clinical Information and Decision Making (1633) Health Services Research (520) Machine Learning (1715)

Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/42788, first published .
Predicting the Risk of Total Hip Replacement by Using A Deep Learning Algorithm on Plain Pelvic Radiographs: Diagnostic Study

Predicting the Risk of Total Hip Replacement by Using A Deep Learning Algorithm on Plain Pelvic Radiographs: Diagnostic Study

Predicting the Risk of Total Hip Replacement by Using A Deep Learning Algorithm on Plain Pelvic Radiographs: Diagnostic Study

Authors of this article:

Chih-Chi Chen1 Author Orcid Image ;   Cheng-Ta Wu2 Author Orcid Image ;   Carl P C Chen1 Author Orcid Image ;   Chia-Ying Chung1 Author Orcid Image ;   Shann-Ching Chen3 Author Orcid Image ;   Mel S Lee4 Author Orcid Image ;   Chi-Tung Cheng5 Author Orcid Image ;   Chien-Hung Liao5 Author Orcid Image
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JMIR Formative Res: Predicting the Risk of Total Hip Replacement by Using A Deep Learning Algorithm on Plain Pelvic Radiographs: Diagnostic Study https://t.co/Vjneid7H4X https://t.co/GU1n18Hxpu

12:50 PM · Oct 20, 2023

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RT @jmirpub: JMIR Formative Res: Predicting the Risk of Total Hip Replacement by Using A Deep Learning Algorithm on Plain Pelvic Radiograph…

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Predicting the Risk of Total Hip Replacement by Using A Deep Learning Algorithm on Plain Pelvic Radiographs: Diagnostic Study https://t.co/5cmgZVvfGd https://t.co/6xznMLLah0

6:27 PM · Oct 20, 2023

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